TeraGrid Gateway UserConcept – Supporting Users

V. E. Lynch, M. L. Chen, J. W. Cobb, J. A. Kohl, S. D. Miller, S. S. Vazhkudai

Oak Ridge National Laboratory

In collaboration with many teams:

NSTG, SNS, McStas group, Open Science Grid, Earth Systems Grid, Tech-X Corp, OGCE, UK eScience effort, and the TeraGrid Partners teams.

What is a Science Gateway?

A Science Gateway Enables scientific communities of

users with a common scientific goal

Uses high performance computing Has a common interface Leverages community investment

Three common forms: Web-based Portals Application programs running on

users' machines but accessing services in TeraGrid

Coordinated access points enabling users to move seamlessly between TeraGrid and other grids.

How can a Gateway help?

Make science more productive Researchers use same tools Complex workflows Common data formats Data sharing

Bring TeraGrid capabilities to the broad science community Lots of disk space Lots of compute resources Powerful analysis capabilities A nice interface to information

What is the TeraGrid?

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SDSC

TACC

UC/ANL

NCSA

ORNL

PU

IU

PSCNCAR

Caltech

USC/ISI

UNC/RENCI

UW

Resource Provider (RP)

Software Integration Partner

LONI

NICS

Grid Infrastructure Group (UChicago)(GIG)

GIG

Over a petaflop of computing power20 computers at 11 facilities 136,470 CPU-cores60 petabyes long-term storageGrowing

Neutron Science TeraGrid Gateway

Focus is neutron science

Connects facilities with cyberinfrastructure

Bridges cyberinfrastructure

Combines TeraGrid computational resources with neutron datasets

Data movement across TeraGrid

Outreach to neutron science

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Community Certificate and Account

Gateways with community accounts scale to thousands of facility users

Jimmy Neutron community accounts on 15 TeraGrid and SNS computers

Authenticated with Jimmy Neutron Community Certificate

Record end-user identification for auditing

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Before Gateways

Large facilities: Recorded histogram data from experiments

Users: Took their data home on floppy disk in pocket Saved permanent copy on hard disk Did not have event data to change histogram Translated data into format needed for analysis Wrote their own code to read and analyze data Installed discipline focused software on their PC for analysis Installed plotting programs/libraries to plot analysis output

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After Gateways

Large facilities: Record data from multiple facilities

SNS, HFIR, LENS, IPNS, LUJAN, …

Save permanent copy of raw data Bin event data into histogram Translate data into standard NeXus format Have analysis and simulation programs available from portal Use remote TeraGrid cyberinfrastructure for computations Have visualization capability in portal

Users: Use portal from web for all data, analysis, and visualization

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Gateway Savings

Users do not duplicate efforts

Facilities do not duplicate efforts

Data is not lost

Data is easily shared

Natural way to integrate community contributed instrument specific software for hosting and wide availability to many facility users

Analysis is done quickly on high performance computers

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Portal submit to TeraGrid

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Simulation Service

Simulation of neutron instrument is available in portal with McStas

Simulations agree with experimental results

Use cases: Instrument design and

construction Experiment interpretation Experiment planning Experiment proposal

evaluation

Fitting Service

• Fits theoretical models to the NeXus data files from the experiments

• Adaptive nonlinear least squares algorithm implemented in parallel• Service to run on TeraGrid

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Reduction Service

•Reduction software is available tor backscattering and reflectometry through portal

•Calculations will be sent to local cluster and TeraGrid

•Attempted to parallelize this calculation by distributing regions of the time-of-flight to each processor. • Each processor read only its region of the NeXus input data file and write a new file containing only that region. 

•Each processor performs the data reduction on its file.

•The results are merged at the end of the calculation

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Reflectometry Data Reduction

Job Information Service

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• Daily tests of submitting multiple simultaneous remote portal jobs.

• Difficult to diagnose the problem from the globus output.

- Check the status of the computer

- Look at the output files• Some problems diagnosed:

- Updated software on a computer that required relinked executables

- Globus software setting the wrong time limit

- Batch prologue script that killed job on same core

- Long queue waits

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11-Jul-200

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31-Jul-200

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20-Aug-200

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9-Sep-20

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29-Sep

-200

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19-Oct-200

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Conclusions

Gateways help facilities scale to a large number of users

Gateways give facilities access to high performance computing such as the TeraGrid

Gateways enable a scientific community to use community software through a common interface

Researchers are more productive if they use the same tools, use a common data format, and share data easily

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